The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Personalization technologies: a process-oriented perspective
Abstract
By leveraging customer reactions to personalized products and services, companies continuously improve their personalization processes through an iterative feedback loop resulting in the `virtuous cycle' of personalization.
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Cites
Adomavicius, G., & Tuzhilin, A. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.99 · Cited by 10,310
Self-citationEmpirical Analysis of Predictive Algorithms for Collaborative Filtering
Breese, J. S., Heckerman, D. E., & Kadie, C. M. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1301.7363 · Cited by 4,772
Fab: content-based, collaborative recommendation
Balabanović, M., & Shoham, Y. (1997) · Communications of the ACM · doi:10.1145/245108.245124 · Cited by 2,934
Hand, D. J., Mannila, H., & Smyth, P. (2001) · Cited by 2,581
GroupLens: applying collaborative filtering to Usenet news
Konstan, J. A., Miller, B. N., Maltz, D., Herlocker, J. L., Gordon, L. R., & Riedl, J. (1997) · Communications of the ACM · doi:10.1145/245108.245126 · Cited by 2,367
Smith, A. (2002) · Artificial Intelligence in Medicine · doi:10.1016/s0933-3657(02)00058-1 · Cited by 1,700
E-Commerce Recommendation Applications
Schafer, J. B., Konstan, J. A., & Riedl, J. (2001) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009804230409 · Cited by 1,530
A Framework for Collaborative, Content-Based and Demographic Filtering
Pazzani, M. J. (1999) · Artificial Intelligence Review · doi:10.1023/a:1006544522159 · Cited by 1,329
Parsons, S. (2004) · The Knowledge Engineering Review · doi:10.1017/s0269888904220203 · Cited by 520
Managing Customer Relationships: A Strategic Framework
Peppers, D., & Rogers, M. (2004) · Cited by 465
Cited by
Introduction to Recommender Systems Handbook
Ricci, F., Rokach, L., & Shapira, B. (2011) · Recommender Systems Handbook · doi:10.1007/978-0-387-85820-3_1 · Cited by 2,378
Digital Innovation as a Fundamental and Powerful Concept in the Information Systems Curriculum1
Fichman, R. G., Dos Santos, B. L., & Zheng, Z. (. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.2.01 · Cited by 935
Xu, H., Luo, X. (., Carroll, J. M., & Rosson, M. B. (2011) · Decision Support Systems · doi:10.1016/j.dss.2010.11.017 · Cited by 708
Personalization versus Customization: The Importance of Agency, Privacy, and Power Usage
Sundar, S. S., & Marathe, S. S. (2010) · Human Communication Research · doi:10.1111/j.1468-2958.2010.01377.x · Cited by 588
Personalization in personalized marketing: Trends and ways forward
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022) · Psychology & Marketing · doi:10.1002/mar.21670 · Cited by 595
Metadata
- Authors
- Adomavicius, G., & Tuzhilin, A.
- Venue
- Communications of the ACM
- Published
- 2005-10
- Volume
- 48
- Issue
- 10
- Pages
- 83-90
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2112442953
- Cited by
- 342
- References
- 19
- FWCI
- 37.73
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
